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Paper Citation Record · LEDGER

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis

As of 16 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:1908.05368.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.05368 v3

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:28:22.305492Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

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  • verified fuzzy15
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External citation measurements

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Outbound references

Observation 883b6237-14c7-4a2f-96e4-fdce54eb0b9f · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis , " * write output.state after.block = add.period write newline

Reference 1

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Observation 44169dbb-bc5d-4349-8603-24e5d2afe963 · outbound

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis write newline

Reference 2

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Observation c7b90df3-622a-4bbb-80a8-900494bbd566 · outbound

This paper cites , Lapanowski, A.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis , Lapanowski, A

Reference 3

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Observation 26ab62fe-d50b-4683-bd0c-fbc9e1f9308b · outbound

This paper cites and Valiant, L.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis and Valiant, L

Reference 4

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Observation 40d51d91-75e3-4a06-a030-fa24d710e156 · outbound

This paper cites Why are deep nets reversible: A simple theory, with implications for training.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Why are deep nets reversible: A simple theory, with implications for training

Reference 5

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Observation 2d7aaef0-cb18-4830-bc90-0127714c8bf5 · outbound

This paper cites The spiked matrix model with generative priors.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis The spiked matrix model with generative priors

Reference 6

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Observation d2b16845-daa4-4654-96a8-9018487ccfc8 · outbound

This paper cites Compressed Sensing using Generative Models.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Compressed Sensing using Generative Models

Reference 7

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Observation b677a818-c091-4b86-babb-e7be8e709c77 · outbound

This paper cites Non-Gaussian Hyperplane Tessellations and Robust One-Bit Compressed Sensing.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Non-Gaussian Hyperplane Tessellations and Robust One-Bit Compressed Sensing

Reference 8

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Observation 8c9199ac-d4ae-4d58-b67c-068661f9930a · outbound

This paper cites Robust one-bit compressed sensing with partial circulant matrices.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Robust one-bit compressed sensing with partial circulant matrices

Reference 9

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Observation dc6cc808-8e94-44cf-9919-44280ceb7ef2 · outbound

This paper cites Towards Understanding the Invertibility of Convolutional Neural Networks.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Towards Understanding the Invertibility of Convolutional Neural Networks

Reference 10

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Observation 0bac813c-9386-4823-81e4-cb52b5f366c2 · outbound

This paper cites , Minsker, S.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis , Minsker, S

Reference 11

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Observation 5b135cf8-520b-42f8-9d9b-074791b6f47e · outbound

This paper cites and Wei, X.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis and Wei, X

Reference 12

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Observation 79449122-8079-413d-ba0b-fbdd80366599 · outbound

This paper cites , Klatzer, T.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis , Klatzer, T

Reference 13

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Observation f09b9834-c604-44c9-bb1b-0b1c9edd8517 · outbound

This paper cites Global Guarantees for Blind Demodulation with Generative Priors.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Global Guarantees for Blind Demodulation with Generative Priors

Reference 14

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Observation e427a324-06cf-44a1-bac9-ae95c0353e7e · outbound

This paper cites , Leong, O.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis , Leong, O

Reference 15

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Observation f52a833e-9a93-4f33-bde5-7a5ab6d625ac · outbound

This paper cites and Voroninski, V.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis and Voroninski, V

Reference 16

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Observation 6ca3eaf0-5ba0-4762-b725-aaa1984413a6 · outbound

This paper cites A Provably Convergent Scheme for Compressive Sensing under Random Generative Priors.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis A Provably Convergent Scheme for Compressive Sensing under Random Generative Priors

Reference 17

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Observation 73b05127-9308-476f-95a8-9f083154daee · outbound

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis , Laska, J

Reference 18

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Observation 8eb0034e-1e53-4b07-a535-dd0eb1fc2a2a · outbound

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Lower Bounds for Compressed Sensing with Generative Models

Reference 19

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis , Theis, L

Reference 20

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Geometric Understanding of Deep Learning

Reference 21

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This paper cites Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models

Reference 22

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis , Krzakala, F

Reference 23

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis , Sahraee-Ardakan, M

Reference 24

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis and Vershynin, R

Reference 25

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis and Vershynin, R

Reference 26

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis , Vershynin, R

Reference 27

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Amortised MAP Inference for Image Super-resolution

Reference 28

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis The Generalized Lasso for Sub-gaussian Measurements with Dithered Quantization

Reference 29

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis , Yang, Z

Reference 30

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Reference 31

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Reference 32

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This paper cites Quantized Compressive Sensing with RIP Matrices: The Benefit of Dithering.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Quantized Compressive Sensing with RIP Matrices: The Benefit of Dithering

Reference 33

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Unresolved cited work

Reference 34

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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Unresolved cited work

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:28:22.280131Z digest=sha256:28141756373a0bb3527c9d6e7a23222801766fd0bf51229cd9617710b1422d1e

Observation 2f8aefda-f94b-480b-9596-de5c39b917ae · outbound

This paper cites an unresolved cited work.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:28:23.240633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:28:22.285617Z digest=sha256:4c6f0be40b998a0f2d461b0defab6c7b36aa891b9b5451fbb540f0dcee6c4a2e

Observation 0788859a-c00a-411c-8607-1337b22a63dd · outbound

This paper cites and Gu, Q.

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis and Gu, Q

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:28:23.078228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T13:28:22.305492Z digest=sha256:373378600afb733ffed2720f9fe329616b3aa95f56516dd500597787fa5fe289

Pith citing papers

No inbound Pith citation observations are available.